- Design, develop, and maintain large-scale data pipelines using Azure Data Factory (ADF) to extract, transform, and load data from various sources into Azure Storage solutions such as Blobs, Files, and Data Lake.
- Collaborate with cross-functional teams to understand business requirements and design scalable data architectures that meet those needs.
- Develop complex SQL queries on Azure Databricks to process large datasets and perform analytics tasks like aggregation, filtering, and visualization.
- Troubleshoot issues related to ADF pipeline failures by analyzing logs, debugging code snippets, and collaborating with other team members.
Job Requirements :
- 4.5-12 years of experience in an IT industry as a Data Engineer or similar role.
- Robust expertise in Azure Data Factory (ADF), Azure Databricks, SQL Azure/SQL Server.
- Proficiency in developing complex SQL queries for querying large datasets.
📌 Azure Data Engineer (Karnataka)
🏢 Quess
📍 Karnataka
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